Paper
18 May 2012 Patch-based local turbulence compensation in anisoplanatic conditions
Adam W. M. van Eekeren, Maarten C. Kruithof, Klamer Schutte, Judith Dijk, Miranda van Iersel, Piet B. W. Schwering
Author Affiliations +
Abstract
Infrared imagery over long ranges is hampered by atmospheric turbulence effects, leading to spatial resolutions worse than expected by a diffraction limited sensor system. This diminishes the recognition range and it is therefore important to compensate visual degradation due to atmospheric turbulence. The amount of turbulence is spatially varying due to anisoplanatic conditions, while the isoplanatic angle varies with atmospheric conditions. But also the amount of turbulence varies significantly in time. In this paper a method is proposed that performs turbulence compensation using a patch-based approach. In each patch the turbulence is considered to be approximately spatially and temporally constant. Our method utilizes multi-frame super-resolution, which incorporates local registration, fusion and deconvolution of the data and also can increase the resolution. This makes our method especially suited to use under anisoplanatic conditions. In our paper we show that our method is capable of compensating the effects of mild to strong turbulence conditions.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Adam W. M. van Eekeren, Maarten C. Kruithof, Klamer Schutte, Judith Dijk, Miranda van Iersel, and Piet B. W. Schwering "Patch-based local turbulence compensation in anisoplanatic conditions", Proc. SPIE 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 83550T (18 May 2012); https://doi.org/10.1117/12.918545
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CITATIONS
Cited by 10 scholarly publications and 1 patent.
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KEYWORDS
Turbulence

Cameras

Image registration

Atmospheric turbulence

Image processing

Visualization

Optical flow

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